Machine Learning: Theory and Practice
Kalita, Jugal
- 出版商: CRC
- 出版日期: 2022-12-21
- 售價: $4,820
- 貴賓價: 9.5 折 $4,579
- 語言: 英文
- 頁數: 282
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367433540
- ISBN-13: 9780367433543
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相關分類:
Machine Learning
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商品描述
Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including Convolutional Neural Networks (CNNs), reinforcement learning, and unsupervised learning focused on clustering. Topics are introduced in a conceptual manner along with necessary mathematical details. The explanations are lucid, illustrated with figures and examples. For each machine learning method discussed, the book presents appropriate libraries in the R programming language along with programming examples.
Features:
- Provides an easy-to-read presentation of commonly used machine learning algorithms in a manner suitable for advanced undergraduate or beginning graduate students, and mathematically and/or programming-oriented individuals who want to learn machine learning on their own.
- Covers mathematical details of the machine learning algorithms discussed to ensure firm understanding, enabling further exploration
- Presents worked out suitable programming examples, thus ensuring conceptual, theoretical and practical understanding of the machine learning methods.
This book is aimed primarily at introducing essential topics in Machine Learning to advanced undergraduates and beginning graduate students. The number of topics has been kept deliberately small so that it can all be covered in a semester or a quarter. The topics are covered in depth, within limits of what can be taught in a short period of time. Thus, the book can provide foundations that will empower a student to read advanced books and research papers.
作者簡介
Dr. Jugal Kalita teaches Computer Science at the University of Colorado, Colorado Springs, where he has been a professor since 1990. He received M.S. and Ph.D. degrees in Computer and Information Science from the University of Pennsylvania in Philadelphia in 1988 and 1990, respectively. Prior to that, he had received an M.Sc. in Computational Science from the University of Saskatchewan in Saskatoon, Canada in 1984; and a B.Tech. in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur in 1982.
Dr. Jugal Kalita's expertise is in the areas of Artificial Intelligence and Machine Learning, and the application of techniques in Machine Learning to Natural Language Processing, Network Security, and Bioinformatics. At the University of Colorado, Colorado Springs, and Tezpur University, Assam, India, where he is an adjunct professor, Dr. Kalita has supervised 15 Ph.D. and 125 M.S. students to graduation, and has mentored 100 undergraduates in independent research. He has published 250 papers in journals and refereed conferences, including prestigious conferences such as International Conference on Machine Learning (ICML), Association for Advancement of Artificial Intelligence (AAAI), North American Chapter of the Association for Computational Linguistics (NAACL), International Conference on Computational Linguistics (COLING) and Empirical Methods in Natural Language Processing (EMNLP). Dr. Kalita is the author of On Perl: Perl for Students and Professionals, Universal Press, 2003. He is also a co-author of Network Anomaly Detection: A Machine Learning Perspective, CRC Press, 2013; DDOS Attacks: Evolution, Detection, Prevention, Reaction and Tolerance, CRC Press, 2016; Network Traffic Anomaly Detection and Prevention: Concepts, Techniques, and Tools, Springer Nature, 2017; and Gene Expression Data Analysis, A Statistical and Machine Learning Perspective, CRC Press, 2021.
Dr. Kalita has received several teaching, research and service awards at the University of Colorado, Colorado Springs, in the Department of Computer Science, and the College of Engineering and Applied Science. He received the prestigious Chancellor's Award at the University of Colorado, Colorado Springs, in 2011, in recognition of lifelong excellence in teaching, research and service. More details about Dr. Kalita can be found at http: //www.cs.uccs.edu/ kalita.
作者簡介(中文翻譯)
Dr. Jugal Kalita自1990年起在科羅拉多斯普林斯的科羅拉多大學教授計算機科學。他於1988年和1990年分別在賓夕法尼亞大學獲得計算機和信息科學的碩士和博士學位。在此之前，他於1984年在加拿大薩斯喀彻温大学獲得計算科學的碩士學位，並於1982年在印度卡拉格普爾的印度理工學院獲得計算機科學和工程的學士學位。
Dr. Jugal Kalita的專業領域是人工智能和機器學習，以及機器學習技術在自然語言處理、網絡安全和生物信息學中的應用。在科羅拉多大學科羅拉多斯普林斯分校和印度阿薩姆邦的特茲普爾大學，他擔任兼職教授，指導了15名博士和125名碩士研究生，並指導了100名本科生進行獨立研究。他在期刊和審查會議上發表了250篇論文，包括國際機器學習大會（ICML）、人工智能促進協會（AAAI）、北美計算語言學協會（NAACL）、國際計算語言學大會（COLING）和自然語言處理的實證方法（EMNLP）等重要會議。Dr. Kalita是《On Perl: Perl for Students and Professionals》（2003年，Universal Press）的作者，也是《Network Anomaly Detection: A Machine Learning Perspective》（2013年，CRC Press）、《DDOS Attacks: Evolution, Detection, Prevention, Reaction and Tolerance》（2016年，CRC Press）、《Network Traffic Anomaly Detection and Prevention: Concepts, Techniques, and Tools》（2017年，Springer Nature）和《Gene Expression Data Analysis, A Statistical and Machine Learning Perspective》（2021年，CRC Press）的合著者。
Dr. Kalita在科羅拉多大學科羅拉多斯普林斯分校的計算機科學系和工程與應用科學學院獲得了多個教學、研究和服務獎項。他於2011年在科羅拉多大學科羅拉多斯普林斯分校獲得了傑出教學、研究和服務終身成就的重要獎項——校長獎。有關Dr. Kalita的更多詳細信息可在http://www.cs.uccs.edu/kalita找到。